SkyWatch wins CSA challenge for AI and big data analytics in space systems

SkyWatch has been selected by the Canadian Space Agency (CSA) to complete Phase 2 of the Artificial Intelligence and Big Data Analytics for Advanced Autonomous Space Systems challenge. This award follows the successful completion of Phase 1, where SkyWatch worked closely with the CSA to develop a proof-of-concept system that demonstrated the technical feasibility and commercial potential of applying artificial intelligence (AI) and big data analytics across the planning, capture and delivery of multiple Earth observation missions. SkyWatch is a leader in the remote sensing data technology industry.

SkyWatch's data aggregation platform, EarthCache, and its data management and distribution platform, TerraStream, are changing the way Earth observation and remote sensing data is managed, distributed and accessed. The partnership emphasizes how SkyWatch, a space data technology company, is at the forefront of the industry, optimizing the operations and usage of space and Earth observation assets through AI and big data analytics.

Enhancing EO for disaster prevention and prediction

The goal of the Artificial Intelligence and Big Data Analytics for Advanced Autonomous Space Systems challenge is to minimize redundancy between disparate missions imaging the same targets and to enable autonomous prediction of natural or man-made disasters. This could allow Earth observation platforms to transition from reactionary imaging in response to crises, to new services for predicting and preventing disasters such as fires, floods, disease outbreaks, space weather events and more. Earth observation data captured from CSA missions is used across government agencies.

SkyWatch's mandate for Phase 2 is to further advance CSA operations in the areas of mission planning, mission integration with autonomous data management and compliance, distribution controls for large enterprises and governments, and machine learning. SkyWatch has developed a number of advanced technologies that enable the efficient and effective analysis of large amounts of Earth observation data, including its own EarthCache platform. The selection of SkyWatch for the Phase 2 project is a testament to the company's expertise in AI and big data analytics for Earth observation data.

"We are excited to work with the Canadian Space Agency on this important project," said James Slifierz, CEO of SkyWatch. "Our team has a deep understanding of how AI and big data analytics can be used to improve mission operations and optimize the application of Earth observation data. We look forward to applying this expertise to help the CSA achieve its goals in this area."